About

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role will be responsible for developing and maintaining data platform for internal analytics in Sanoma Learning.

• Report to Head of Data and AI in Operations
• Work closely with Head of Internal analytics and cross-functional teams, including product owners, project managers, privacy champions, TechOps, architects, analytics leaders in our operating companies, and key leaders in Operations
• Manage a team of data engineers (including tech lead, scrum master, architect and potentially other roles)

Key Responsibilities

• Lead Data Solutions team in Data and AI domain in developing a unified data platform that supports business needs
• Manage various analytical and other data-related needs with flexible and compliant data solutions
• Ensure continuous development by facilitating the data solution development process (scrum) and priorities
• Develop and maintain a scalable and efficient data infrastructure that enables the collection, storage, processing of large volumes of data (current tool: Snowflake)
• Collaborate with various departments to ensure seamless integration and functionality of data solutions
• Lead a team of data engineers, providing guidance and support to achieve project goals and deliver high-quality results
• Support data engineering tech lead in developing team’s data engineering competence
• Facilitate the development and execution of SL’s data-driven strategy, aligning it with business objectives and foreseen future needs
• Manage data tools (e.g., Snowflake, DBT) and discussions with vendors and data-related third parties
• Oversee data governance at Sanoma Learning
• Support the advancement of SL AI topics by considering suitable supporting data structures

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Mathematics, Engineering, Business Administration, or a related field
• Advanced degree or MBA is a plus
• 7+ years of relevant professional experience, including at least 3-5 years in a leadership role overseeing data-related teams, initiatives, or platforms
• Proven track record in leading and delivering scalable and robust data platforms
• Experience managing cross-functional teams, ensuring alignment of technical solutions with business objectives and operational priorities
• Familiarity with modern data engineering and analytics tools, such as DBT, Apache Airflow, ETL/ELT frameworks, orchestration tools, SQL, and Python
• Experience in establishing and overseeing data governance frameworks, data privacy regulations (e.g., GDPR), and data security standards
• Background in agile project management methodologies and proven experience facilitating iterative development processes
• Experience in managing vendor relationships and procurement processes related to data infrastructure and engineering services

Skills

• Strong business and strategic mindset, with the ability to align data engineering solutions to organizational goals
• Proven ability to lead and develop diverse teams, fostering high performance, motivation, and growth
• Excellent stakeholder management skills, able to communicate clearly with both technical and non-technical audiences, including senior leadership
• Good technical understanding of data architecture, data modeling principles, and best practices for data management
• Familiarity with modern data visualization and BI tools (e.g., Power BI, Tableau) to support business insights
• Strategic and innovative thinking, proactively identifying opportunities for improvement and optimization of data-driven initiatives

Personal Attributes

• Data-driven decision-making approach
• Proactive and positive “can-do” attitude, demonstrating initiative and resilience
• Strong organizational skills, adept at managing multiple tasks simultaneously
• Self-motivated, consistently seeking opportunities for improvement and innovation
• Passionate about opportunities in Data and AI space